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SUMMARY:A Sociotechnical Audit: Assessing Police use of Facial Recognition
  - Evani Radiya-Dixit\, Minderoo Centre for Tech &amp\; Democracy
DTSTART:20221213T160000Z
DTEND:20221213T170000Z
UID:TALK192764@talks.cam.ac.uk
CONTACT:Kieron Ivy Turk
DESCRIPTION:The adoption of facial recognition by police has been the subj
 ect of significant debate. Police often advocate for this technology to he
 lp prevent crime\, but this technology can also threaten fundamental right
 s. We propose a “sociotechnical audit” as a tool to help outside stake
 holders evaluate the ethics and legality of police use of facial recogniti
 on. Developed for England and Wales\, this audit extends to all types of f
 acial recognition for identification\, including live\, retrospective\, an
 d mobile phone facial recognition. We developed this audit using existing 
 literature and feedback from academia\, government\, civil society\, and p
 olice organisations. The audit can help reveal the risks of facial recogni
 tion\, evaluate legal compliance\, and inform policy and oversight.\n\nWe 
 apply this audit to three British police deployments and find that all thr
 ee fail to meet ethical and legal standards for the governance of facial r
 ecognition. We highlight the lack of (a) evidence of a lawful interference
  with privacy rights\, (b) transparent evaluations of discrimination\, (c)
  measures for remedy for harmed persons\, and (d) regular oversight from a
 n independent ethics body and the wider community. The harms of facial rec
 ognition in policing move beyond the issue of bias in the technology\, and
  these broader issues of privacy\, discrimination\, accountability\, and o
 versight need urgent attention. Ultimately\, we recommend regulators\, civ
 il society groups\, and researchers to use this audit to scrutinise police
  use of facial recognition\, evaluate biometric technologies in other cont
 exts\, and join calls for a ban on police use of facial recognition in pub
 lic spaces.
LOCATION:Webinar - link on talks.cam page after 12 noon Tuesday
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